Langchain Email Format

Technology, Information and Internet
51-200 employees
San Francisco, CA, USA

LangChain is an AI infrastructure company that builds open-source frameworks and enterprise platforms for developing, deploying, and operating production-ready intelligent agents at scale.

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first.last@langchain.com

Company Overview

Industry
Technology, Information and Internet
Founded
2022
Headquarters
San Francisco, CA, USA
Revenue
$10M-$25M
FUNDING Stage
Private
Key Executives
Harrison Chase (Co-Founder and CEO), Jesse Ellingworth (Head of Finance), Julia Schottenstein (COO)

Tech Stack

LangSmith

Infrastructure

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Key Executives

Chief Executive Officer

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Chief Finance Officer

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Chief Operating Officer

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Chief Technology Officer

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Chief Marketing Officer

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Chairman

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4.9/5 on G2
40K+ GTM professionals
SOC 2 Type II certified

Frequently Asked Questions

What is the email format of Langchain?

Langchain uses the first.last format, so Jane Smith would be jane.smith@langchain.com.

What are the core products Langchain offers for building AI agents?

Langchain offers three main products: the LangChain open-source framework for building agents, LangGraph for orchestrating reliable multi-step agents, and LangSmith, an agent engineering platform covering observability, evaluation, and deployment in production.

How can I find and verify a specific contact at Langchain for outreach?

Since Langchain uses the first.last@langchain.com format, you can construct most employee addresses directly. A tool like Clay can help you verify those addresses and enrich contact records before you reach out.

Who co-founded Langchain and currently leads the company as CEO?

Harrison Chase co-founded Langchain in late 2022 and serves as its CEO. He is also a featured speaker at major AI events including Google Cloud Next 2026, where he represents the company.

What is LangChain Labs and what research is Langchain pursuing through it?

LangChain Labs is an applied research effort Langchain launched in May 2026, focused on continual learning for AI agents. It works on topics like mining signals from agent-produced data, prompt optimization, and building evaluation environments, with research partners including NVIDIA and Harvey.

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